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MCP verified MIT Self-run

Aleph

mcp-hmbown-aleph · by Hmbown

Skill + MCP server to turn your agent into an RLM. Load context, iterate with search/code/think tools, converge on answers.

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Install

$ agentstack add mcp-hmbown-aleph

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution Used
  • Environment & secrets No
  • Dynamic code execution Used

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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5mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Aleph

[](LICENSE) [](https://www.python.org/downloads/) [](https://pypi.org/project/aleph-rlm/)

Aleph is an MCP server and skill for Recursive Language Models (RLMs). It keeps working state — search indexes, code execution, evidence, recursion — in a Python process outside the prompt window, so the LLM reasons iteratively over large codebases, long-lived projects, logs, documents, and data without burning context on raw content.

+-----------------+    tool calls     +-----------------------------+
|   LLM client    | ---------------> |  Aleph (Python process)     |
| (context budget)|  item.value);
const routeKinds = frequency(
  routes.map((route) => (route.includes('.post(') ? 'write' : 'read')),
  2,
);
const notes = await sub_query_map(
  routes.map((route) => `Explain ${route}`),
  routes,
);
({ routeCount: routes.length, routeKinds, notes })
`, context_id="repo")

Safety Model

Aleph is built to keep raw context out of the model window unless you explicitly pull it back:

  • Tool responses are capped and truncated.
  • get_variable("ctx") is policy-aware and should not be your default path.
  • exec_python stdout, stderr, and return values are bounded independently.
  • ALEPH_CONTEXT_POLICY=isolated adds stricter session export/import rules and

more defensive defaults.

  • ALEPH_ACTION_POLICY=read-only (or --action-policy read-only) keeps action

tools in read-only mode: search and file loading still work, but writes and subprocess execution are blocked.

The safest pattern is always:

  1. Load the large context into Aleph memory.
  2. Search or compute inside Aleph.
  3. Retrieve only the small result you need.

Docs Map

  • [MCPSETUP.md](MCPSETUP.md): client-by-client MCP and skill installation.
  • [docs/prompts/aleph.md](docs/prompts/aleph.md): the /aleph and $aleph

workflow plus tool patterns.

  • [docs/CONFIGURATION.md](docs/CONFIGURATION.md): flags, env vars, limits, and

safety settings.

  • [docs/langgraph-rlm-default.md](docs/langgraph-rlm-default.md): LangGraph

integration with Aleph-style tool usage.

  • [examples/langgraphrlmrepoimprover.py](examples/langgraphrlmrepoimprover.py):

repo improvement example with optional LangSmith tracing.

  • [CHANGELOG.md](CHANGELOG.md): release history.
  • [DEVELOPMENT.md](DEVELOPMENT.md): contributor guide.

Development

git clone https://github.com/Hmbown/aleph.git
cd aleph
pip install -e ".[dev,mcp]"
# Optional extras:
#   .[docs]           -> MarkItDown-backed document conversion
#   .[observability]  -> OpenTelemetry spans
pytest tests/ -v
ruff check aleph/ tests/

References

  • Zhang, A. L., Kraska, T., Khattab, O. (2025)

Recursive Language Models (arXiv:2512.24601)

License

MIT

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.